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AI Architect (AWS Bedrock)

Talent GroupsManor, TX🇺🇸United StatesPosted 19 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Location: Austin, TX / Fort Mill, SC (Hybrid - 3 days WFO)

Contract

 

 

Job Description:

Key Responsibilities

  • Define and maintain the end-to-end AI-PDLC workflow linking code-graph analysis, LLM evaluation, dispositioning, data migration, and productionization.
  • Review outputs across the pod to ensure consistency, traceability, and coherence between iterations — recognizing that discovery continues through implementation, testing, cutover, and post-go-live defect remediation.
  • Resolve cross-workstream conflicts (e.g., a graph finding that changes a data migration disposition) and ensure a single source of truth.
  • Set the quality bar for what constitutes a "defensible" disposition and hold the pod accountable to it.
  • Coordinate access to Wipro’s broader Agentic AI CoE, Data Engineering, and Architecture Community so the pod benefits from cross-engagement patterns, not just its own five members.

 

Required Skills

  • Amazon Bedrock (mandatory — production experience, not POC/evaluation)
  • AI-PDLC / AI product development lifecycle discipline
  • Cross-workstream technical coordination across AI, data, and application teams
  • Client-facing communication and escalation management with senior stakeholders
  • Architecture governance in regulated/financial services environments

 

Relevant Experience

  • 12+ years in AI/data/software architecture with recent experience leading GenAI or Agentic AI delivery pods.
  • Confirmed hands-on AWS Bedrock production deployment (not just AWS familiarity).
  • Proven experience as a single technical point of contact for enterprise clients on complex, multi-year modernization/migration programs.
  • Financial services / capital markets / wealth management domain experience strongly preferred.

 

Expected Deliverables / Work Products

  • AI-PDLC workflow and governance model
  • Pod status and escalation reporting
  • Cross-workstream consistency reviews
  • Disposition quality/defensibility bar and audit trail

 

Skills

AWS
LLM

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